Google_colab_notebooks
所属分类：数据挖掘/数据仓库
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2023-01-25 06:29:56
上 传 者：
sh-1993
说明： Python编程、计算机视觉深度学习、数据挖掘、数据分析和高级优化技术的项目和colab工作表
(Projects and colab worksheets of Python -programming, Deep learning for Computer-vision, Data-mining, Data-analysis and Advanced optimization techniques)
文件列表:
Advanced Optimization/ (0, 2023-01-24)
Advanced Optimization/CLONALG.ipynb (38107, 2023-01-24)
Data Analysis/ (0, 2023-01-24)
Data Analysis/Datasets/ (0, 2023-01-24)
Data Analysis/Datasets/adult.data.csv (3518607, 2023-01-24)
Data Analysis/Datasets/epa-sea-level.csv (5912, 2023-01-24)
Data Analysis/Datasets/fcc-forum-pageviews.csv (22381, 2023-01-24)
Data Analysis/Datasets/medical_examination.csv (2941524, 2023-01-24)
Data Analysis/demographic.ipynb (15417, 2023-01-24)
Data Analysis/fcc_page_view_time.ipynb (156424, 2023-01-24)
Data Analysis/loan_data.ipynb (54773, 2023-01-24)
Data Analysis/medical_data_visualizer.ipynb (98423, 2023-01-24)
Data Analysis/sea_level_predictor.ipynb (40416, 2023-01-24)
Data mining/ (0, 2023-01-24)
Data mining/datacleaning worksheets/ (0, 2023-01-24)
Data mining/datacleaning worksheets/Cleaning Not Null Values.ipynb (30572, 2023-01-24)
Data mining/datacleaning worksheets/Handling Missing Data with Pandas.ipynb (41122, 2023-01-24)
Data mining/datacleaning worksheets/Missing Data.ipynb (8242, 2023-01-24)
Data mining/datacleaning worksheets/More Visualizations.ipynb (513414, 2023-01-24)
Data mining/datacleaning worksheets/Real Example.ipynb (691404, 2023-01-24)
Data mining/datacleaning worksheets/datasets used/ (0, 2023-01-24)
Data mining/datacleaning worksheets/datasets used/covid.csv (30541, 2023-01-24)
Data mining/datacleaning worksheets/datasets used/heart.csv (11024, 2023-01-24)
Data mining/datacleaning worksheets/datasets used/loan_data.csv (37397, 2023-01-24)
Data mining/diabetes.csv (23105, 2023-01-24)
Data mining/diabetics.ipynb (182140, 2023-01-24)
Deep learning for Computer vision/ (0, 2023-01-24)
Deep learning for Computer vision/classification/ (0, 2023-01-24)
Deep learning for Computer vision/classification/iris_flower_classifier/ (0, 2023-01-24)
Deep learning for Computer vision/classification/iris_flower_classifier/cnn_iris_flower.ipynb (86092, 2023-01-24)
Deep learning for Computer vision/classification/keras_cnn_mnist.ipynb (87092, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/ (0, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/cnn_lemon_melon.ipynb (34090, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/dataset/ (0, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/dataset/lemon/ (0, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/dataset/lemon/1439-2.jpg (160220, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/dataset/lemon/30001186-3_1-fresho-lemon.jpg (6552, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/dataset/lemon/659-07028120en_Masterfile.jpg (36391, 2023-01-24)
Deep learning for Computer vision/classification/lemon_melon_classifier/dataset/lemon/74-2.jpg (123263, 2023-01-24)
... ...
# Projects and Assignments done during my M.tech degree
Projects and Colab worksheets of Python-programming, Deep learning for Computer-vision, Data-mining, Data-analysis and Advanced optimization techniques are included.
1)Python programming exercises:
- The worksheets contains questions and program solutions related to various python concepts.
2)Advanced optimization technique:
- Implemented the Clonal selection algorithm for the optimization of Eight-Queen problem.
- The colab notebook of the same is available.
3)Data analysis:
- Analysis and visualization of diffrent real world dataset of different domains and extract target information from the bulk data for processing or visualization.
- Folder contains the colab notebooks that were prepared during the Free-code-camp data analysis course.
- Folder contains the dataset used for the colab notebooks.
4)Data mining:
- Contains domonstration of different data mining and data cleaning techniques used on real world datasets like loan-data,diabetic,covid etc
5)Deep-learning with computer-vision:
- Deep learning techniques used for image classification and prediction.
- Implementation of gradient descent algorithm for 2 variables, which takes function,initial weights as input and outputs the correct updated weights.
- Demonstration of different types of images and properties.
6)Image processing:
-LZ77,LZ78,LZW codings
-Huffmann , adaptive Huffmann, Shannon-fano coding
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